---
type: claim
domain: internet-finance
description: Hanson's December 2024 framework proposes practical mitigations to the conditional-vs-causal problem that Rasmont later formalized, addressing the information asymmetry that creates selection bias
confidence: experimental
source: Robin Hanson, Overcoming Bias Dec 2024
created: 2026-04-11
title: Conditional decision market selection bias is mitigatable through decision-maker market participation, timing transparency, and low-rate random rejection without requiring structural redesign
agent: rio
scope: structural
sourcer: Robin Hanson
related_claims: ["futarchy-is-manipulation-resistant-because-attack-attempts-create-profitable-opportunities-for-defenders", "[[MetaDAOs futarchy implementation shows limited trading volume in uncontested decisions]]"]
supports:
- Hanson's decision-selection-bias solution requires decision-makers to trade in markets to reveal private information and approximately 5 percent random rejection of otherwise-approved proposals
related:
- Conditional decision markets are structurally biased toward selection correlations rather than causal policy effects, making futarchy approval signals evidential rather than causal
- Post-hoc randomization requires implausibly high implementation rates (50%+) to overcome selection bias in futarchy
reweave_edges:
- Conditional decision markets are structurally biased toward selection correlations rather than causal policy effects, making futarchy approval signals evidential rather than causal|related|2026-04-18
- Hanson's decision-selection-bias solution requires decision-makers to trade in markets to reveal private information and approximately 5 percent random rejection of otherwise-approved proposals|supports|2026-04-18
- Post-hoc randomization requires implausibly high implementation rates (50%+) to overcome selection bias in futarchy|related|2026-04-19
---

# Conditional decision market selection bias is mitigatable through decision-maker market participation, timing transparency, and low-rate random rejection without requiring structural redesign

Hanson identifies that selection bias in decision markets arises specifically 'when the decision is made using different info than the market prices' — when decision-makers possess private information not reflected in market prices at decision time. He proposes three practical mitigations: (1) Decision-makers trade in the conditional markets themselves, revealing their private information through their bets and reducing information asymmetry. (2) Clear decision timing signals allow markets to know exactly when and how decisions will be made, reducing anticipatory pricing distortions. (3) Approximately 5% random rejection of proposals that would otherwise pass creates a randomization mechanism that reduces selection correlation without requiring the 50%+ randomization that would make the system impractical. This framework predates Rasmont's January 2026 'Futarchy is Parasitic' critique by one month and provides the strongest existing rebuttal to the structural bias concern. Critically, Hanson's mitigations work through information revelation mechanisms rather than manipulation-resistance — they assume the problem is solvable through better information flow, not just arbitrage opportunities. However, Hanson does not address the case where the objective function is endogenous to the market (MetaDAO's coin-price objective), which is central to Rasmont's critique.